Using imager with on-purpose controlled distortion for inference or training of an artificial intelligence neural network

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United States of America

PATENT NO 12260531
APP PUB NO 20210150679A1
SERIAL NO

16950218

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Abstract

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A method for training and using a convolutional neural network with images having on-purpose distortion is disclosed. By distorting on-purpose the image to create zone of interest with higher number of pixels, the resulting output from the neural network is improved. The distorted images are created using an imager device either comprising an optical system specifically designed to output distorted images or comprising software or hardware image distortion manipulation algorithm to create the distorted images from normal images. Also described is a method for training the neural network using a distorted image generator from various existing datasets.

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Patent Owner(s)

Patent OwnerAddress
IMMERVISION INC2020 BOULEVARD ROBERT-BOURASSA MONTREAL H3A 2A5

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Buquet, Julie Montreal, CA 3 0
Konen, Pierre Saint-Bruno, CA 36 215
Natashyn, Viacheslav Chateauguay, CA 3 1
Nini, Pascale Orford, CA 24 150
Parent, Jocelyn Montreal, CA 39 175
Roulet, Patrice Montreal, CA 39 171
Thibault, Simon Quebec City, CA 51 465

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